Abstract
This letter analyzes the meta-distribution of the transmission success probability (TSP) for vehicular networks based on a one-dimensional Poisson point process (PPP). We also propose a method to maximize the throughput across the vehicular network. Compared to the conventional spatial average performance assessment, the meta-distribution reveals the fraction of vehicles that operate at a target success rate of transmission across the highway. To this end, we propose a per-vehicle rate selection scheme to keep a target quality of service (QoS) level for all vehicles. The results reveal that operating at the spatially-averaged maximum throughput may lead to excessive variation in the performance of individual vehicles. However, with the proposed meta-distribution-aware rate selection scheme, the throughput variation among the vehicles can be significantly reduced (e.g., up to a 60% reduction).
Original language | English |
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Article number | 830 |
Journal | Electronics (Switzerland) |
Volume | 8 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2019 |
Bibliographical note
Publisher Copyright:© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Meta-distribution
- PPP
- Rate adaptation
- Stochastic geometry
- VANETs
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Hardware and Architecture
- Computer Networks and Communications
- Electrical and Electronic Engineering